| Bayesian Temporal Factorization for Multidimensional Time Series Prediction | Oct 14, 2019 | ImputationMissing Values | CodeCode Available | 2 |
| Cross-view kernel transfer | Oct 14, 2019 | Missing Values | —Unverified | 0 |
| On Tractable Computation of Expected Predictions | Oct 5, 2019 | FairnessImputation | CodeCode Available | 0 |
| Blood lactate concentration prediction in critical care patients: handling missing values | Oct 3, 2019 | Decision MakingImputation | —Unverified | 0 |
| ProtRank: Bypassing the imputation of missing values in differential expression analysis of proteomic data | Sep 30, 2019 | ImputationMissing Values | CodeCode Available | 0 |
| RISE and DISE: Two Frameworks for Learning from Time Series with Missing Data | Sep 25, 2019 | Missing ValuesRepresentation Learning | —Unverified | 0 |
| Latent Gaussian process with composite likelihoods and numerical quadrature | Sep 4, 2019 | ClusteringDimensionality Reduction | —Unverified | 0 |
| Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs | Sep 3, 2019 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 0 |
| Data Context Adaptation for Accurate Recommendation with Additional Information | Aug 22, 2019 | Missing Values | —Unverified | 0 |
| Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension | Aug 12, 2019 | Gaussian ProcessesImputation | CodeCode Available | 0 |
| E2GAN: End-to-End Generative Adversarial Network or Multivariate Time Series Imputation | Aug 10, 2019 | Generative Adversarial NetworkImputation | —Unverified | 0 |
| Autoregressive-Model-Based Methods for Online Time Series Prediction with Missing Values: an Experimental Evaluation | Aug 10, 2019 | ImputationMissing Values | —Unverified | 0 |
| Comparison of Artificial Intelligence Techniques for Project Conceptual Cost Prediction | Aug 8, 2019 | BIG-bench Machine LearningMissing Values | —Unverified | 0 |
| The Challenge of Imputation in Explainable Artificial Intelligence Models | Jul 29, 2019 | Explainable artificial intelligenceExplainable Models | —Unverified | 0 |
| Change point detection for graphical models in the presence of missing values | Jul 11, 2019 | Change Point DetectionImputation | CodeCode Available | 0 |
| Time series cluster kernels to exploit informative missingness and incomplete label information | Jul 10, 2019 | Ensemble LearningImputation | —Unverified | 0 |
| GP-VAE: Deep Probabilistic Time Series Imputation | Jul 9, 2019 | Deep LearningDimensionality Reduction | CodeCode Available | 0 |
| Depth Restoration: A fast low-rank matrix completion via dual-graph regularization | Jul 5, 2019 | Low-Rank Matrix CompletionMatrix Completion | —Unverified | 0 |
| Integrative Factorization of Bidimensionally Linked Matrices | Jun 9, 2019 | Dimensionality ReductionMissing Values | CodeCode Available | 0 |
| Extension of Rough Set Based on Positive Transitive Relation | Jun 7, 2019 | Missing ValuesRelation | —Unverified | 0 |
| Bayesian Learning of Latent Representations of Language Structures | Jun 1, 2019 | Missing ValuesRepresentation Learning | —Unverified | 0 |
| Bayesian Hierarchical Dynamic Model for Human Action Recognition | Jun 1, 2019 | Action RecognitionBayesian Inference | CodeCode Available | 0 |
| Noisy and Incomplete Boolean Matrix Factorizationvia Expectation Maximization | May 29, 2019 | Missing Values | —Unverified | 0 |
| Fairness and Missing Values | May 29, 2019 | Decision MakingFairness | CodeCode Available | 0 |
| CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation | May 23, 2019 | ImputationMachine Translation | CodeCode Available | 0 |
